February 16, 2023 Software Open Access

Lizzi Francesca; Postuma Ian; Cabini Raffaella; Brero Francesca; Fantacci M. Evelina; Lascialfari Alessandro; Oliva Piernicola; Retico Alessandra

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{
  "@context": "https://schema.org/", 
  "@id": "https://doi.org/10.15161/oar.it/76937", 
  "@type": "SoftwareSourceCode", 
  "creator": [
    {
      "@id": "https://orcid.org/0000-0003-0900-0421", 
      "@type": "Person", 
      "affiliation": "Istituto Nazionale di Fisica Nucleare", 
      "name": "Lizzi Francesca"
    }, 
    {
      "@id": "https://orcid.org/0000-0001-9678-9277", 
      "@type": "Person", 
      "affiliation": "Istituto Nazionale di Fisica Nucleare", 
      "name": "Postuma Ian"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Universit\u00e0 di Pavia", 
      "name": "Cabini Raffaella"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Istituto Nazionale di Fisica Nucleare", 
      "name": "Brero Francesca"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Universit\u00e0 di Pisa", 
      "name": "Fantacci M. Evelina"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Universit\u00e0 di Pavia", 
      "name": "Lascialfari Alessandro"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Universit\u00e0 di Sassasi", 
      "name": "Oliva Piernicola"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Istituto Nazionale di Fisica Nucleare", 
      "name": "Retico Alessandra"
    }
  ], 
  "datePublished": "2023-02-16", 
  "description": "<p>LungQuant is a software for the quantification of lesions in CT scans of COVID-19 patients.</p>\n\n<p>Its functioning is based on a cascade of three Convolutional Neural Networks (CNN):</p>\n\n<p>1) the first one is used to produce a bounding box enclosing the lungs;</p>\n\n<p>2) the second CNN is used to segment the lungs;</p>\n\n<p>3) the third CNN is devoted to lesion segmentation.</p>\n\n<p>The system takes in input&nbsp; Computed Tomography (CT) scans in nifti format.</p>\n\n<p>The system returns in output: the lungs and lesion masks and other information that can be useful to describe the infection.</p>", 
  "identifier": "https://doi.org/10.15161/oar.it/76937", 
  "inLanguage": {
    "@type": "Language", 
    "alternateName": "eng", 
    "name": "English"
  }, 
  "keywords": [
    "Computed Tomography (CT)", 
    "AI", 
    "Segmentation", 
    "COVID-19", 
    "Lung"
  ], 
  "license": "https://opensource.org/licenses/EUPL-1.1", 
  "name": "LungQuant", 
  "url": "https://www.openaccessrepository.it/record/76937", 
  "version": "2.5"
}